Zobrazeno 1 - 10
of 50
pro vyhledávání: '"M J, Pringle"'
Publikováno v:
International Journal of Applied Earth Observation and Geoinformation. 72:99-108
Information on long-term yield variability is important for tailoring farming practices to the needs of crops. We present a linear mixed-effects model to predict wheat yield at a within-field scale in the northern grain-growing region of Australia. T
Publikováno v:
Remote Sensing of Environment. 216:183-200
We have mapped the broad groups of crops grown each summer and winter, from 1987 to 2017, for a 300,000-km2 region of Queensland, Australia. These maps are part of a legislated decision-making process for the protection of prime agricultural land. Fo
Quantifying the economic impact of soil constraints on Australian agriculture: A case-study of wheat
Autor:
Peter M. Kopittke, Neal W. Menzies, Thomas G. Orton, Ram C. Dalal, Yash P. Dang, Ross Searle, M. J. Pringle, Thilak Mallawaarachchi, Zvi Hochman
Publikováno v:
Land Degradation & Development. 29:3866-3875
Soil sodicity, acidity, and salinity are important soil constraints to wheat production in many cropping regions across Australia, and the Australian agricultural industry needs accurate information on their economic impacts to guide investment decis
Publikováno v:
Geoderma. 322:149-162
Intensive agricultural management practices and fluctuating rainfall patterns have the potential to significantly impact the status and change of important soil properties. This study looks at the change in soil pH during a 13-year period in a semi-a
Publikováno v:
Geoderma Regional. 24:e00367
Monitoring and mapping organic carbon throughout the soil profile is an important task, as land management and fluctuations in rainfall patterns have the potential to substantially alter the levels of soil organic carbon (SOC). This study aims to mon
Publikováno v:
Geoderma. 262:174-186
Datasets for modelling and mapping soil properties often consist of samples from many spatial locations, collected from several different soil depth intervals. However, interest may lie in the spatial distribution of the property for a particular tar
Publikováno v:
Geoderma. 371:114382
Soil inorganic carbon (SIC) accounts for approximately 30–40% of global soil carbon stocks and up to 90% of total carbon stocks in arid and semi-arid regions. The quantity of SIC can vary considerably over short distances, and SIC primarily accumul
Publikováno v:
Geoderma. 363:114151
Soil sodicity, generally measured through the exchangeable sodium percentage (ESP), is the most prevalent edaphic stress in Australia, particularly in the northern grains-growing region (NGR) of Australia. Farmers, scientists and policy-makers need a
Publikováno v:
Geoderma. 361:114094
Prediction and mapping of soil properties for different soil depths can provide important information for effective land management. Such predictions and maps are often built based on soil data from multiple soil surveys, and the sampled depths will
Publikováno v:
European Journal of Soil Science. 66:1023-1032
Geostatistical methods can be used to calculate predictions of soil variables at unsampled locations, but the methodology is typically based on samples collected on identical sample supports. In this paper, we provide and test theory that allows the